Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117E318742611357E19B347F3B0AA7316B1BC421ED40B8460B328D5AE27CEC6BA923BD5 |
|
CONTENT
ssdeep
|
1536:9FlgWzJdFzCl+dFzClTnkJiXnkJihpj9hfpj9hMjX6fboQoCo2h2wV9Q/oDtVPTg:tgWzBNefF5GXexMAQgDnAMGrTP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c538381cccc7e3 |
|
VISUAL
aHash
|
006676726200007e |
|
VISUAL
dHash
|
b4ccc4e4ccc3c0c4 |
|
VISUAL
wHash
|
1a6e7e7a6600387e |
|
VISUAL
colorHash
|
38000000007 |
|
VISUAL
cropResistant
|
b4ccc4e4ccc3c0c4 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 20 techniques to evade detection by security scanners and make reverse engineering more difficult.